Dataset Information

MALDI rat liver anticancer drug spiked-in dataset (imzML)

ABSTRACT: For the MALDI-MSI experiment, we selected 12 different drugs. The drugs were purchased from the LC Laboratories (Woburn, MA; CAS numbers: dabrafenib: 1195765-45-7, dasatinib: 302962-49-8, erlotinib: 183321-74-6, gefitinib: 184475-35-2, imatinib: 152459-95-5, lapatinib: 388082-78-8, pazopanib: 444731-52-6, sorafenib: 284461-73-0, sunitinib: 557795-19-4, trametinib: 871700-17-3, vatalanib: 212141-54-3) and from SelleckChem (Munich, Germany; CAS numbers: ipratropium: 60205-81-4) with >99% purity and were dissolved in methanol (MeOH, (Chromasolv Plus for HPLC) (Sigma-Aldrich, Steinheim, Germany) at 10 mg/mL concentration. These stock solutions were further diluted with 50% MeOH and five mixtures were generated, each containing four different drug compounds. The spreadsheet in Supporting Information summarizes the composition of the five drug mixtures. A 5 mg/mL solution of α-cyano-4-hydroxycinnamic acid (CHCA, Sigma-Aldrich) dissolved in 50% MeOH containing 0.1% trifluoroacetic acid (TFA, Sigma-Aldrich, Steinheim, Germany) was used as matrix solution.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Rattus Norvegicus (rat)

TISSUE(S): Liver

SUBMITTER: Jonatan Eriksson

LAB HEAD: Peter Horvatovich

PROVIDER: PXD016146 | Pride | 2019-11-06

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	5mixes_onratliver_50micron.MALDIPos	Other
	5mixes_onratliver_50micron.ibd	Other
	5mixes_onratliver_50micron.imzML	Other
	5mixes_onratliver_50micron.raw	Raw
	ground-truth-compounds.txt	Txt

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Publications

Clusterwise Peak Detection and Filtering Based on Spatial Distribution To Efficiently Mine Mass Spectrometry Imaging Data.

Eriksson Jonatan O JO Rezeli Melinda M Hefner Max M Marko-Varga Gyorgy G Horvatovich Peter P

Analytical chemistry 20190823 18

Mass spectrometry imaging (MSI) has the potential to reveal the localization of thousands of biomolecules such as metabolites and lipids in tissue sections. The increase in both mass and spatial resolution of today's instruments brings on considerable challenges in terms of data processing; accurately extracting meaningful signals from the large data sets generated by MSI without losing information that could be clinically relevant is one of the most fundamental tasks of analysis software. Ion i ...[more]

PMID: 31403280

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Project description:Purpose: We aim to identify transciptional changes of human CD4+/CD8+ T cells due to high fat low carbohydrate ketogenic diet (KD) in vivo. Method: Healthy volunteers conducted a 21 days ketogenic diet, limiting carbohydrate intake to <30g/day. Before the start (T0) and at the end (T1) of the diet, blood samples were taken and PBMC were isolated. PBMCs were obtained by density centrifugation (Histopaque 1077, Sigma-Aldrich, St. Louis, MO, USA). A ViCell analyzer (Beckman Coulter, Fullerton, CA, USA) was used to evaluate the cell count and viability. Only samples exceeding a cell viability of 90% were processed further. PBMCs were subjected to cell cultivation in RPMI 1640 (Invitrogen, Carlsbad, CA, USA) containing 10% heat-inactivated fetal calf serum (Biochrom, Berlin, Germany), 1% HEPES (Sigma-Aldrich, St. Louis, MO) and 1% L-glutamine (Life Technologies, Carlsbad, CA, USA). T cells were stimulated via the addition of CD3/CD28 Dynabeads (Thermo Fisher Scientific, Waltham, MA, USA) with a bead-to-cell ratio of 1:8 for a duration 24 hours. After stimulation, CD3/CD28 Dynabeads were magnetically removed. Pan T cell-, CD4+- and CD8+-cell-isolation was performed by magnetic cell separation (Pan T Cell Isolation Kit, # 130-096-535 | human CD4 MicroBeads, # 130-045-101 | human CD8 MicroBeads, # 130-045-201, Miltenyi Biotec, Bergisch Gladbach, Germany) using an AutoMACS Pro Separator ( # 130-092-545, Miltenyi Biotec, Bergisch-Gladbach, Germany) according to the manufacturer’s instructions. Results: 11.545 expressed genes were identified, for CD4/CD8 T cells, we detected 5.667/ 5.799 up-regulated genes and 5.878/5.746 down-regulated genes. 294/346 genes and 325/252 genes were significantly up/down-regulated for CD4+/CD8+ T cells (p-val. <0.05). Gene set enrichment analysis revealed 117/17 and 22/6 significantly up/down-regulated pathways for CD4+/CD8+ T cells (p-val. <0.05). Genes and Gene sets differentially regulated were relevant for T cell immune response and metabolic function. Conclusion: KD resulted in immunometabolic reprogramming of human CD4+/CD8+ T cells.